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Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

active 2023-11-292025-10-23 (UTC)

Partial coverage26,257 / 26,322 hourly files (100%) · 2 absent upstream · 64 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
29
Pushes
0
Pull requests
1
Issues
4
Stars
18
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 695 days from 2023-11-29 to 2025-10-23. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 4 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 18 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
jihaekor2011
Sturaga861000
JorgeAraya991000
agneagere1000
Digbijaynk011000

Recent activity

Latest issues, pull requests and releases

  • Issue#70agneagere2024-10-28 08:57
    Change PMML version
  • Issue#68Sturaga862024-05-21 18:38
    Not an issue a question about the package
  • Issue#62JorgeAraya992024-04-27 23:42
    Problem with GaussianNB
  • Issue#67Digbijaynk012024-02-22 12:53
    Getting different prediction output when using Nyoka to save my xgboost model and PyPMML to load the model for prediction
  • Issue comment#66jihaekor2024-02-01 17:38
    Properly escape \s+
  • Pull request#66jihaekor2024-01-31 16:37

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 18 stars here means stars gained during the window, not the repo's star count.